Method and System for Decoding Multiview Videos with Prediction Dependencies

ABSTRACT

Multiview videos are acquired of a scene with corresponding cameras arranged at poses, such that there is view overlap between any pair of cameras. V-frames are generated from the multiview videos. The V-frames are encoded using only spatial prediction. Then, the V-frames are inserted periodically in an encoded bit stream to provide random temporal access to the multiview videos. Additional view dependency information enables the decoding of a reduced number of frames prior to accessing randomly a target frame for a specified view and time, and decoding the target frame. The method also decodes multiview videos by maintaining a reference picture list for a current frame of a plurality of multiview videos, and predicting each current frame of the plurality of multiview videos according to reference pictures indexed by the associated reference picture list.

RELATED APPLICATION

This application is a Divisional Application of U.S. patent application Ser. No. 11/385,620, “Method for Randomly Accessing Multiview Videos with Known Prediction Dependency,” filed by Martinian et al. on Mar. 21, 2006.

FIELD OF THE INVENTION

This invention relates generally to coding multiview videos, and more particularly to decoding multiview videos with known view dependency.

BACKGROUND OF THE INVENTION

Multiview video encoding and decoding is essential for applications such as three dimensional television (3DTV), free viewpoint television (FTV), and multi-camera surveillance. Multiview video encoding and decoding is also known as dynamic light field compression.

FIG. 1 shows a prior art ‘simulcast’ system 100 for multiview video encoding. Cameras 1-4 acquire sequences of frames or videos 101-104 of a scene 5. Each camera has a different view of the scene. Each video is encoded 111-114 independently to corresponding encoded videos 121-124. That system uses conventional 2D video encoding techniques. Therefore, that system does not correlate between the different videos acquired by the cameras from the different viewpoints while predicting frames of the encoded video. Independent encoding decreases compression efficiency, and thus network bandwidth and storage are increased.

FIG. 2 shows a prior art disparity compensated prediction system 200 that does use inter-view correlations. Videos 201-204 are encoded 211-214 to encoded videos 231-234. The videos 201 and 204 are encoded independently using a standard video encoder such as MPEG-2 or H.264, also known as MPEG-4 Part 10. These independently encoded videos are ‘reference’ videos. The remaining videos 202 and 203 are encoded using temporal prediction and inter-view predictions based on reconstructed reference videos 251 and 252 obtained from decoders 221 and 222. Typically, the prediction is determined adaptively on a per block basis, S. C. Chan et al., “The data compression of simplified dynamic light fields,” Proc. IEEE Int. Acoustics, Speech, and Signal Processing Conf., April, 2003.

FIG. 3 shows prior art ‘lifting-based’ wavelet decomposition, see W. Sweldens, “The data compression of simplified dynamic light fields,” J. Appl. Comp. Harm. Anal., vol. 3, no. 2, pp. 186-200, 1996. Wavelet decomposition is an effective technique for static light field compression. Input samples 301 are split 310 into odd samples 302 and even samples 303. The odd samples are predicted 320 from the even samples. A prediction error forms high band samples 304. The high band samples are used to update 330 the even samples and to form low band samples 305. That decomposition is invertible so that linear or non-linear operations can be incorporated into the prediction and update steps.

The lifting scheme enables a motion-compensated temporal transform, i.e., motion compensated temporal filtering (MCTF) which, for videos, essentially filters along a temporal motion trajectory. A review of MCTF for video coding is described by Ohm et al, “Interframe wavelet coding—motion picture representation for universal scalability,” Signal Processing: Image Communication, vol. 19, no. 9, pp. 877-908, October 2004. The lifting scheme can be based on any wavelet kernel such as Harr or 5/3 Daubechies, and any motion model such as block-based translation or affine global motion, without affecting the reconstruction.

For encoding, the MCTF decomposes the video into high band frames and low band frames. Then, the frames are subjected to spatial transforms to reduce any remaining spatial correlations. The transformed low and high band frames, along with associated motion information, are entropy encoded to form an encoded bit stream. MCTF can be implemented with the lifting scheme shown in FIG. 3, with the temporally adjacent videos as input. In addition, MCTF can be applied recursively to the output low band frames.

MCTF-based videos have a compression efficiency comparable to that of video compression standards such as H.264/AVC. In addition, the videos have inherent temporal scalability. However, that method cannot be used for directly encoding multiview videos in which there is a correlation between videos acquired from multiple views because there is no efficient method for predicting views that accounts for correlation in time.

The lifting scheme has also been used to encode static light fields, i.e., single multiview images. Rather than performing a motion-compensated temporal filtering, the encoder performs a disparity compensated inter-view filtering (DCVF) across the static views in the spatial domain, see Chang et al., “Inter-view wavelet compression of light fields with disparity compensated lifting,” SPIE Conf on Visual Communications and Image Processing, 2003. For encoding, DCVF decomposes the static light field into high and low band images, which are then subject to spatial transforms to reduce any remaining spatial correlations. The transformed images, along with the associated disparity information, are entropy encoded to form the encoded bit stream. DCVF is typically implemented using the lifting-based wavelet transform scheme as shown in FIG. 3 with the images acquired from spatially adjacent camera views as input. In addition, DCVF can be applied recursively to the output low band images. DCVF-based static light field compression provides a better compression efficiency than independently coding the multiple frames. However, that method also cannot encode multiview videos in which both the temporal correlation and the spatial correlation between views are used because there is no efficient method for predicting views that accounts for correlation in time.

SUMMARY OF THE INVENTION

A method and system decompose a multiview bit stream acquired of a scene by multiple cameras.

The multiview bit stream includes a sequence of frames, and each camera provides a different view of the scene.

A prediction mode is selected from a temporal, spatial, view synthesis, and intra prediction mode.

The multiview bit stream is then decomposed into low band frames, high band frames, and side information according to the selected prediction mode.

A novel video reflecting a synthetic view of the scene can also be generated from one or more of the multiview videos.

More particularly, one embodiment of the invention provides a system and method for managing multiview videos. A reference picture list is maintained for each current frame of multiple multiview videos. The reference picture list indexes temporal reference pictures, spatial reference pictures and synthesized reference pictures of the multiview videos. Then, each current frame of the multiview videos is predicted according to reference pictures indexed by the associated reference picture list during encoding and decoding.

More particularly, one embodiment of the invention provides a system and method for synthesizing multiview videos. Multiview videos are acquired of a scene with corresponding cameras arranged at a poses such that there is view overlap between any pair of cameras. A synthesized multiview video is generated from the acquired multiview videos for a virtual camera. A reference picture list is maintained for each current frame of each of the multiview videos and the synthesized video. The reference picture indexing temporal reference pictures and spatial reference pictures of the acquired multiview videos and the synthesized reference pictures of the synthesized multiview video. Then, each current frame of the multiview videos is predicted according to reference pictures indexed by the associated reference picture list during encoding and decoding.

More particularly, one embodiment of the invention provides a method for randomly accessing multiview videos. Multiview videos are acquired of a scene with corresponding cameras arranged at poses, such that there is view overlap between any pair of cameras. V-frames are generated from the multiview videos. The V-frames are encoded using only spatial prediction. Then, the V-frames are inserted periodically in an encoded bit stream to provide random temporal access to the multiview videos.

More particularly, one embodiment of the invention provides a method for randomly accessing multiview videos with known view dependency. As with the other embodiments, V-frames are generated from the multiview videos and encoded using only spatial prediction. Then, the V-frames are inserted periodically in an encoded bit stream to provide random temporal access to the multiview videos. Additional view dependency information enables marking a reduced number of frames that are decoded prior to accessing a target frame in a given view.

In another embodiment, the method decodes multiview videos by maintaining a reference picture list for each current frame of a plurality of multiview videos, wherein the reference picture list indexing temporal reference pictures and spatial reference pictures of the multiview videos, and

predicting each current frame of the plurality of multiview videos according to reference pictures indexed by the associated reference picture list, wherein each current frame includes a plurality of macroblocks, and the predicting is macroblock adaptive according to a selected one of a plurality of prediction modes.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of a prior art system for encoding multiview videos;

FIG. 2 is a block diagram of a prior art disparity compensated prediction system for encoding multiview videos;

FIG. 3 is a flow diagram of a prior art wavelet decomposition process;

FIG. 4 is a block diagram of a MCTF/DCVF decomposition according to an embodiment of the invention;

FIG. 5 is a block diagram of low-band frames and high band frames as a function of time and space after the MCTF/DCVF decomposition according to an embodiment of the invention;

FIG. 6 is a block diagram of prediction of high band frame from adjacent low-band frames according to an embodiment of the invention;

FIG. 7 is a block diagram of a multiview coding system using macroblock-adaptive MCTF/DCVF decomposition according to an embodiment of the invention;

FIG. 8 is a schematic of video synthesis according to an embodiment of the invention;

FIG. 9 is a block diagram of a prior art reference picture management;

FIG. 10 is a block diagram of multiview reference picture management according to an embodiment of the invention;

FIG. 11 is a block diagram of multiview reference pictures in a decoded picture buffer according to an embodiment of the invention;

FIG. 12 is a graph comparing coding efficiencies of different multiview reference picture orderings;

FIG. 13 is a block diagram of dependencies of view mode on the multiview reference picture list manager according to an embodiment of the invention;

FIG. 14 is diagram of a prior art reference picture management for single view coding systems that employ prediction from temporal reference pictures;

FIG. 15 is a diagram of a reference picture management for multiview coding and decoding systems that employ prediction from multiview reference pictures according to an embodiment of the invention;

FIG. 16 is a block diagram of view synthesis in a decoder using depth information encoded and received as side information according to an embodiment of the invention;

FIG. 17 is a block diagram of cost calculations for selecting a prediction mode according to an embodiment of the invention;

FIG. 18 is a block diagram of view synthesis in a decoder using depth information estimated by a decoder according to an embodiment of the invention;

FIG. 19 is a block diagram of multiview videos using V-frames to achieve spatial random access in the decoder according to an embodiment of the invention;

FIG. 20 is a block diagram of a prior art prediction structure for multiview video coding using hierarchical B-frames;

FIG. 21 is a block diagram of random access in a multiview video decoder according to an embodiment of the invention; and

FIG. 22 is a block diagram of a process for marking required frames for spatial random access in the decoder according to an embodiment of the invention.

DETAILED DESCRIPTION OF THE EMBODIMENTS OF THE INVENTION

One embodiment of our invention provides a joint temporal/inter-view processing method for encoding and decoding frames of multiview videos. Multiview videos are videos that are acquired of a scene by multiple cameras having different poses. We define a pose camera as both its 3D (x, y, z) position, and its 3D (φ, ρ, φ) orientation. Each pose corresponds to a ‘view’ of the scene.

The method uses temporal correlation between frames within each video acquired for a particular camera pose, as well as spatial correlation between synchronized frames in videos acquired from multiple camera views. In addition, ‘synthetic’ frames can be correlated, as described below.

In one embodiment, the temporal correlation uses motion compensated temporal filtering (MCTF), while the spatial correlation uses disparity compensated inter-view filtering (DCVF).

In another embodiment of the invention, spatial correlation uses prediction of one view from synthesized frames that are generated from ‘neighboring’ frames. Neighboring frames are temporally or spatially adjacent frames, for example, frames before or after a current frame in the temporal domain, or one or more frames acquired at the same instant in time but from cameras having different poses or views of the scene.

Each frame of each video includes macroblocks of pixels. Therefore, the method of multiview video encoding and decoding according to one embodiment of the invention is macroblock adaptive. The encoding and decoding of a current macroblock in a current frame is performed using several possible prediction modes, including various forms of temporal, spatial, view synthesis, and intra prediction. To determine the best prediction mode on a macroblock basis, one embodiment of the invention provides a method for selecting a prediction mode. The method can be used for any number of camera arrangements.

In order to maintain compatibility with existing single-view encoding and decoding systems, a method for managing a reference picture list is described. Specifically, we describe a method of inserting and removing reference pictures from a picture buffer according to the reference picture list. The reference pictures include temporal reference pictures, spatial reference pictures and synthesized reference pictures.

As used herein, a reference picture is defined as any frame that is used during the encoding and decoding to ‘predict’ a current frame. Typically, reference pictures are spatially or temporally adjacent or ‘neighboring’ to the current frame.

It is important to note that the same operations are applied in both the encoder and decoder because the same set of reference pictures are used at any give time instant to encode and decode the current frame.

One embodiment of the invention enables random access to the frames of the multiview videos during encoding and decoding. This improves coding efficiency.

MCTF/DCVF Decomposition

FIG. 4 show a MCTF/DCVF decomposition 400 according to one embodiment of the invention. Frames of input videos 401-404 are acquired of a scene 5 by cameras 1-4 having different posses. Note, as shown in FIG. 8, some of the cameras 1 a and 1 b can be at the same locations but with different orientations. It is assumed that there is some amount of view overlap between any pair of cameras. The poses of the cameras can change while acquiring the multiview videos. Typically, the cameras are synchronized with each other. Each input video provides a different ‘view’ of the scene. The input frames 401-404 are sent to a MCTF/DCVF decomposition 400. The decomposition produces encoded low-band frames 411, encoded high band frames 412, and associated side information 413. The high band frames encode prediction errors using the low band frames as reference pictures. The decomposition is according to selected prediction modes 410. The prediction modes include spatial, temporal, view synthesis, and intra prediction modes. The prediction modes can be selected adaptively on a per macroblock basis for each current frame. With intra prediction, the current macroblock is predicted from other macroblocks in the same frame.

FIG. 5 shows a preferred alternating ‘checkerboard pattern’ of the low band frames (L) 411 and the high band frames (H) 412 for a neighborhood of frames 510. The frames have a spatial (view) dimension 501 and a temporal dimension 502. Essentially, the pattern alternates low band frames and high band frames in the spatial dimension for a single instant in time, and additionally alternates temporally the low band frames and the high band frames for a single video.

There are several advantages of this checkerboard pattern. The pattern distributes low band frames evenly in both the space and time dimensions, which achieves scalability in space and time when a decoder only reconstructs the low band frames. In addition, the pattern aligns the high band frames with adjacent low band frames in both the space and time dimensions. This maximizes the correlation between reference pictures from which the predictions of the errors in the current frame are made, as shown in FIG. 6.

According to a lifting-based wavelet transform, the high band frames 412 are generated by predicting one set of samples from the other set of samples. The prediction can be achieved using a number of modes including various forms of temporal prediction, various forms of spatial prediction, and a view synthesis prediction according to the embodiments of invention described below.

The means by which the high band frames 412 are predicted and the necessary information required to make the prediction are referred to as the side information 413. If a temporal prediction is performed, then the temporal mode is signaled as part of the side information along with corresponding motion information. If a spatial prediction is performed, then the spatial mode is signaled as part of the side information along with corresponding disparity information. If view synthesis prediction is performed, then the view synthesis mode is signaled as part of the side information along with corresponding disparity, motion and depth information.

As shown in FIG. 6, the prediction of each current frame 600 uses neighboring frames 510 in both the space and time dimensions. The frames that are used for predicting the current frame are called reference pictures. The reference pictures are maintained in the reference list, which is part of the encoded bit stream. The reference pictures are stored in the decoded picture buffer.

In one embodiment of the invention, the MCTF and DCVF are applied adaptively to each current macroblock for each frame of the input videos to yield decomposed low band frames, as well as the high band frames and the associated side information. In this way, each macroblock is processed adaptively according to a ‘best’ prediction mode. An optimal method for selecting the prediction mode is described below.

In one embodiment of the invention, the MCTF is first applied to the frames of each video independently. The resulting frames are then further decomposed with the DCVF. In addition to the final decomposed frames, the corresponding side information is also generated. If performed on a macroblock-basis, then the prediction mode selections for the MCTF and the DCVF are considered separately. As an advantage, this prediction mode selection inherently supports temporal scalability. In this way, lower temporal rates of the videos are easily accessed in the compressed bit stream.

In another embodiment, the DCVF is first applied to the frames of the input videos. The resulting frames are then temporally decomposed with the MCTF. In addition to the final decomposed frames, the side information is also generated. If performed on a macroblock-basis, then the prediction mode selections for the MCTF and DCVF are considered separately. As an advantage, this selection inherently supports spatial scalability. In this way, a reduced number of the views are easily accessed in the compressed bit stream.

The decomposition described above can be applied recursively on the resulting set of low band frames from a previous decomposition stage. As an advantage, our MCTF/DCVF decomposition 400 effectively removes both temporal and spatial (inter-view) correlations, and can achieve a very high compression efficiency. The compression efficiency of our multiview bit stream encoder outperforms conventional simulcast encoding, which encodes each view independently.

Coding of MCTF/DCVF Decomposition

As shown in FIG. 7, the outputs 411 and 412 of decomposition 400 are fed to a signal encoder 710, and the output 413 is fed to a side information encoder 720. The signal encoder 710 performs a transform, quantization and entropy coding to remove any remaining correlations in the decomposed low band and high band frames 411-412. Such operations are well known in the art, Netravali and Haskell, Digital Pictures: Representation, Compression and Standards, Second Edition, Plenum Press, 1995.

The side information encoder 720 encodes the side information 413 generated by the decomposition 400. In addition to the prediction mode and the reference picture list, the side information 413 includes motion information corresponding to the temporal predictions, disparity information corresponding to the spatial predictions and view synthesis and depth information corresponding to the view synthesis predictions.

Encoding the side information can be achieved by known and established techniques, such as the techniques used in the MPEG-4 Visual standard, ISO/IEC 14496-2, “Information technology—Coding of audio-visual objects—Part 2: Visual,” 2^(nd) Edition, 2001, or the more recent H.264/AVC standard, and ITU-T Recommendation H.264, “Advanced video coding for generic audiovisual services,” 2004, incorporated herein by reference.

For instance, motion vectors of the macroblocks are typically encoded using predictive methods that determine a prediction vector from vectors in macroblocks in reference pictures. The difference between the prediction vector and the current vector is then subject to an entropy coding process, which typically uses the statistics of the prediction error. A similar procedure can be used to encode disparity vectors.

Furthermore, depth information for each macroblock can be encoded using predictive coding methods in which a prediction from macroblocks in reference pictures is obtained, or by simply using a fixed length code to express the depth value directly. If pixel level accuracy for the depth is extracted and compressed, then texture coding techniques that apply transform, quantization and entropy coding techniques can be applied.

The encoded signals 711-712 from the signal encoder 710 and side information encoder 720 can be multiplexed 730 to produce an encoded output bit stream 731.

Decoding of MCTF/DCVF Decomposition

The bit stream 731 can be decoded 740 to produce an output multiview bit stream 741 corresponding to the input multiview bit streams 401-404. Optionally, a synthetic video can also be generated. Generally, the decoder performs the inverse operations of the encoder to reconstruct the multiview videos. If all low band and high band frames are decoded, then the full set of frames in both the space (view) dimension and time dimension at the encoded quality are reconstructed and available.

Depending on the number of recursive levels of decomposition that were applied in the encoder and which type of decompositions were applied, a reduced number of videos and/or a reduced temporal rate can be decoded as shown in FIG. 7.

View Synthesis

As shown in FIG. 8, view synthesis is a process by which frames 801 of a synthesized video are generated from frames 803 of one or more actual multiview videos. In other words, view synthesis provides a means to synthesize the frames 801 corresponding to a selected novel view 802 of the scene 5. This novel view 802 may correspond to a ‘virtual’ camera 800 not present at the time the input multiview videos 401-404 were acquired or the view can correspond to a camera view that is acquired, whereby the synthesized view will be used for prediction and encoding/decoding of this view as described below.

If one video is used, then the synthesis is based on extrapolation or warping, and if multiple videos are used, then the synthesis is based on interpolation.

Given the pixel values of frames 803 of one or more multiview videos and the depth values of points in the scene, the pixels in the frames 801 for the synthetic view 802 can be synthesized from the corresponding pixel values in the frames 803.

View synthesis is commonly used in computer graphics for rendering still images for multiple views, see Buehler et al., “Unstructured Lumigraph Rendering,” Proc. ACM SIGGRAPH, 2001. That method requires extrinsic and intrinsic parameters for the cameras.

View synthesis for compressing multiview videos is novel. In one embodiment of our invention, we generate synthesized frames to be used for predicting the current frame. In one embodiment of the invention, synthesized frames are generated for designated high band frames. In another embodiment of the invention, synthesized frames are generated for specific views. The synthesized frames serve as reference pictures from which a current synthesized frame can be predicted.

One difficulty with this approach is that the depth values of the scene 5 are unknown. Therefore, we estimate the depth values using known techniques, e.g., based on correspondences of features in the multiview videos.

Alternatively, for each synthesized video, we generate multiple synthesized frames, each corresponding to a candidate depth value. For each macroblock in the current frame, the best matching macroblock in the set of synthesized frames is determined. The synthesized frame from which this best match is found indicates the depth value of the macroblock in the current frame. This process is repeated for each macroblock in the current frame.

A difference between the current macroblock and the synthesized block is encoded and compressed by the signal encoder 710. The side information for this multiview mode is encoded by the side information encoder 720. The side information includes a signal indicating the view synthesis prediction mode, the depth value of the macroblock, and an optional displacement vector that compensates for any misalignments between the macroblock in the current frame and the best matching macroblock in the synthesized frame to be compensated.

Prediction Mode Selection

In the macroblock-adaptive MCTF/DCVF decomposition, the prediction mode m for each macroblock can be selected by minimizing a cost function adaptively on a per macroblock basis:

${m^{*} = {\underset{m}{argmin}\; {J(m)}}},$

where J(m)=D(m)+λR(m), and D is distortion, λ is a weighting parameter, R is rate, m indicates the set of candidate prediction modes, and m* indicates the optimal prediction mode that has been selected based on a minimum cost criteria.

The candidate modes m include various modes of temporal, spatial, view synthesis, and intra prediction. The cost function J(m) depends on the rate and distortion resulting from encoding the macroblock using a specific prediction mode m.

The distortion D measures a difference between a reconstructed macroblock and a source macroblock. The reconstructed macroblock is obtained by encoding and decoding the macroblock using the given prediction mode m. A common distortion measure is a sum of squared difference. The rate R corresponds to the number of bits needed to encode the macroblock, including the prediction error and the side information. The weighting parameter λ controls the rate-distortion tradeoff of the macroblock coding, and can be derived from a size of a quantization step.

Detailed aspects of the encoding and decoding processes are described in further detail below. In particular, the various data structures that are used by the encoding and decoding processes are described. It should be understood that the data structures, as described herein, that are used in the encoder are identical to corresponding data structures used in the decoder. It should also be understood that the processing steps of the decoder essentially follow the same processing steps as the encoder, but in an inverse order.

Reference Picture Management

FIG. 9 shows a reference picture management for prior art single-view encoding and decoding systems. Temporal reference pictures 901 are managed by a single-view reference picture list (RPL) manager 910, which determines insertion 920 and removal 930 of temporal reference pictures 901 to a decoded picture buffer (DPB) 940. A reference picture list 950 is also maintained to indicate the frames that are stored in the DPB 940. The RPL is used for reference picture management operations such as insert 920 and remove 930, as well as temporal prediction 960 in both the encoded and the decoder.

In single-view encoders, the temporal reference pictures 901 are generated as a result of applying a set of typical encoding operations including prediction, transform and quantization, then applying the inverse of those operations including inverse quantization, inverse transform and motion compensation. Furthermore, temporal reference pictures 901 are only inserted 920 into the DPB 940 and added to the RPL 950 when the temporal pictures are required for the prediction of a current frame in the encoder.

In single-view decoders, the same temporal reference pictures 901 are generated by applying a set of typical decoding operations on the bit stream including inverse quantization, inverse transform and motion compensation. As in the encoder, the temporal reference pictures 901 are only inserted into the DPB 930 and added to the RPL 940 if they are required for prediction of a current frame in the decoder.

FIG. 10 shows a reference picture management for multiview encoding and decoding. In addition to temporal reference pictures 1003, the multiview systems also include spatial reference pictures 1001 and synthesized reference pictures 1002. These reference pictures are collectively referred to as multiview reference pictures 1005. The multiview reference pictures 1005 are managed by a multiview RPL manager 1010, which determines insertion 1020 and removal 1030 of the multiview reference pictures 1005 to the multiview DPB 1040. For each video, a multiview reference picture list (RPL) 1050 is also maintained to indicate the frames that are stored in the DPB. That is, the RPL is an index for the DPB. The multiview RPLs are used for reference picture management operations such as insert 1020 and remove 1030, as well as prediction 1060 of the current frame.

It is noted that prediction 1060 for the multiview system is different than prediction 960 for the single-view system because prediction from different types of multiview reference pictures 1005 is enabled. Further details on the multiview reference picture management 1010 are described below.

Multiview Reference Picture List Manager

Before encoding a current frame in the encoder or before decoding the current frame in the decoder, a set of multiview reference pictures 1005 can be indicated in the multiview RPL 1050. As defined conventionally and herein, a set can have zero (null set), one or multiple elements. Identical copies of the RPLs are maintained by both the encoder and decoder for each current frame.

All frames inserted in the multiview RPLs 1050 are initialized and marked as usable for prediction using an appropriate syntax. According to the H.264/AVC standard and reference software, the ‘used_for_reference’ flag is set to ‘1’. In general, reference pictures are initialized so that a frame can be used for prediction in a video encoding system. To maintain compatibility with conventional single-view video compression standards, such as H.264/AVC, each reference picture is assigned a picture order count (POC). Typically, for single-view encoding and decoding systems, the POC corresponds to the temporal ordering of a picture, e.g., the frame number. For multiview encoding and decoding systems, temporal order alone is not sufficient to assign a POC for each reference picture. Therefore, we determine a unique POC for every multiview reference picture according to a convention. One convention is to assign a POC for temporal reference pictures based on temporal order, and then reserve a sequence of very high POC numbers, e.g., 10,000-10,100, for the spatial and synthesized reference pictures. Other POC assignment conventions, or simply “ordering” conventions, are described in further detail below.

All frames used as multiview reference pictures are maintained in the RPL and stored in the DPB in such a way that the frames are treated as conventional reference pictures by the encoder 700 or the decoder 740. This way, the encoding and decoding processes can be conventional. Further details on storing multiview reference pictures are described below. For each current frame to be predicted, the RPL and DPB are updated accordingly.

Defining and Signaling Multiview Conventions

The process of maintaining the RPL is coordinated between the encoder 700 and the decoder 740. In particular, the encoder and decoder maintain identical copies of multiview reference picture list when predicting a particular current frame.

A number of conventions for maintaining the multiframe reference picture list are possible. Therefore, the particular convention that is used is inserted in the bit stream 731, or provided as sequence level side information, e.g., configuration information that is communicated to the decoder. Furthermore, the convention allows different prediction structures, e.g., 1-D arrays, 2-D arrays, arcs, crosses, and sequences synthesized using view interpolation or warping techniques.

For example, a synthesized frame is generated by warping a corresponding frame of one of the multiview videos acquired by the cameras. Alternatively, a conventional model of the scene can be used during the synthesis. In other embodiments of our invention, we define several multiview reference picture maintenance conventions that are dependent on view type, insertion order, and camera properties.

The view type indicates whether the reference picture is a frame from a video other than the video of the current frame, or whether the reference picture is synthesized from other frames, or whether the reference picture depends on other reference pictures. For example, synthesized reference pictures can be maintained differently than reference pictures from the same video as the current frame, or reference pictures from spatially adjacent videos.

The insertion order indicates how reference pictures are ordered in the RPL. For instance, a reference picture in the same video as the current frame can be given a lower order value than a reference picture in a video taken from an adjacent view. In this case, the reference picture is placed earlier in the multiview RPL.

Camera properties indicate properties of the camera that is used to acquire the reference picture, or the virtual camera that is used to generate a synthetic reference picture. These properties include translation and rotation relative to a fixed coordinate system, i.e., the camera ‘pose’, intrinsic parameters describing how a 3-D point is projected into a 2-D image, lens distortions, color calibration information, illumination levels, etc. For instance, based on the camera properties, the proximity of certain cameras to adjacent cameras can be determined automatically, and only videos acquired by adjacent cameras are considered as part of a particular RPL.

As shown in FIG. 11, one embodiment of our invention uses a convention that reserves a portion 1101 of each reference picture list for temporal reference pictures 1003, reserves another portion 1102 for synthesized reference pictures 1002 and a third portion 1103 for spatial reference pictures 1001. This is an example of a convention that is dependent only on the view type. The number of frames contained in each portion can vary based on a prediction dependency of the current frame being encoded or decoded.

The particular maintenance convention can be specified by standard, explicit or implicit rules, or in the encoded bit stream as side information.

Storing Pictures in the DPB

The multiview RPL manager 1010 maintains the RPL so that the order in which the multiview reference pictures are stored in the DPB corresponds to their ‘usefulness’ to improve the efficiency of the encoding and decoding. Specifically, reference pictures in the beginning of the RPL can be predicatively encoded with fewer bits than reference pictures at the end of the RPL.

As shown in FIG. 12, optimizing the order in which multiview references pictures are maintained in the RPL can have a significant impact on coding efficiency.

For example, following the POC assignment described above for initialization, multiview reference pictures can be assigned a very large POC value because they do not occur in the normal temporal ordering of a video sequence. Therefore, the default ordering process of most video codecs can place such multiview reference pictures earlier in the reference picture lists.

Because temporal reference pictures from the same sequence generally exhibit stronger correlations than spatial reference pictures from other sequences, the default ordering is undesirable. Therefore, the multiview reference pictures are either explicitly reordered by the encoder, whereby the encoder then signals this reordering to the decoder, or the encoder and decoder implicitly reorder multiview reference pictures according to a predetermined convention.

As shown in FIG. 13, the order of the reference pictures is facilitated by a view mode 1300 to each reference picture. It is noted that the view mode 1300 also affects the multiview prediction process 1060. In one embodiment of our invention, we use three different types of view modes, I-view, P-view and B-view, which are described in further detail below.

Before describing the detailed operation of multiview reference picture management, prior art reference picture management for single video encoding and decoding systems is shown in FIG. 14. Only temporal reference pictures 901 are used for the temporal prediction 960. The temporal prediction dependency between temporal reference pictures of the video in acquisition or display order 1401 is shown. The reference pictures are reordered 1410 into an encoding order 1402, in which each reference picture is encoded or decoded at a time instants t₀-t₆. Block 1420 shows the ordering of the reference pictures for each instant in time. At time t₀, when an intra-frame I₀ is encoded or decoded, there are no temporal reference pictures used for temporal prediction, hence the DBP/RPL is empty. At time t₁, when the uni-directional inter-frame P₁ is encoded or decoded, frame I₀ is available as a temporal reference picture. At times t₂ and t₃, both frames I₀ and I₁ are available as reference frames for bi-directional temporal prediction of inter-frames B₁ and B₂. The temporal reference pictures and DBP/RPL are managed in a similar way for future pictures.

To describe the multiview case according to an embodiment of the invention, we consider the three different types of views described above and shown in FIG. 15: I-view, P-view, and B-view. The multiview prediction dependency between reference pictures of the videos in display order 1501 is shown. As shown in FIG. 15, the reference pictures of the videos are reordered 1510 into a coding order 1502 for each view mode, in which each reference picture is encoded or decoded at a given time instant denoted t₀-t₂. The order of the multiview reference pictures is shown in block 1520 for each time instant.

The I-view is the simplest mode that enables more complex modes. I-view uses conventional encoding and prediction modes, without any spatial or synthesized prediction. For example, I-views can be encoded using conventional H.264/AVC techniques without any multiview extensions. When spatial reference pictures from an I-view sequence are placed into the reference lists of other views, these spatial reference pictures are usually placed after temporal reference pictures.

As shown in FIG. 15, for the I-view, when frame I₀ is encoded or decoded at t₀, there are no multiview reference pictures used for prediction. Hence, the DBP/RPL is empty. At time t₁, when frame P₀ is encoded or decoded, I₀ is available as a temporal reference picture. At time t₂, when the frame B₀ is encoded or decoded, both frames I₀ and P₀ are available as temporal reference pictures.

P-view is more complex than I-view in that P-view allows prediction from another view to exploit the spatial correlation between views. Specifically, sequences encoded using the P-view mode use multiview reference pictures from other I-view or P-view. Synthesized reference pictures can also be used in the P-view. When multiview reference pictures from an I-view are placed into the reference lists of other views, P-views are placed after both temporal reference pictures and after multiview references pictures derived from I-views.

As shown in FIG. 15, for the P-view, when frame I₂ is encoded or decoded at t₀, a synthesized reference picture S₂₀ and the spatial reference picture I₀ are available for prediction. Further details on the generation of synthesized pictures are described below. At time t₁, when P₂ is encoded or decoded, I₂ is available as a temporal reference picture, along with a synthesized reference picture S₂₁ and a spatial reference picture P₀ from the I-view. At time t₂, there exist two temporal reference pictures I₂ and P₂, as well as a synthesized reference picture S₂₂ and a spatial reference picture B₀, from which predictions can be made.

B-views are similar to P-views in that the B-views use multiview reference pictures. One key difference between P-views and B-views is that P-views use reference pictures from its own view as well as one other view, while B-views may reference pictures in multiple views. When synthesized reference pictures are used, the B-views are placed before spatial reference pictures because synthesized views generally have a stronger correlation than spatial references.

As shown in FIG. 15, for the B-view, when I₁ is encoded or decoded at t₀, a synthesized reference picture S₁₀ and the spatial reference pictures I₀ and I₂ are available for prediction. At time t₁, when P₁ is encoded or decoded, I₁ is available as a temporal reference picture, along with a synthesized reference picture S₁₁ and spatial reference pictures P₀ and P₂ from the I-view and P-view, respectively. At time t₂, there exist two temporal reference pictures I₁ and P₁, as well as a synthesized reference picture S₁₂ and spatial reference pictures B₀ and B₂, from which predictions can be made.

It must be emphasized that the example shown in FIG. 15 is only for one embodiment of the invention. Many different types of prediction dependencies are supported. For instance, the spatial reference pictures are not limited to pictures in different views at the same time instant. Spatial reference pictures can also include reference pictures for different views at different time instants. Also, the number of bi-directionally predicted pictures between intra-pictures and uni-directionally predicted inter-pictures can vary. Similarly, the configuration of I-views, P-views, and B-views can also vary. Furthermore, there can be several synthesized reference pictures available, each generated using a different set of pictures or different depth map or process.

Compatibility

One important benefit of the multiview picture management according to the embodiments of the invention is that it is compatible with existing single-view video coding systems and designs. Not only does this provide minimal changes to the existing single-view video coding standards, but it also enables software and hardware from existing single view video coding systems to be used for multiview video coding as described herein.

The reason for this is that most conventional video encoding systems communicate encoding parameters to a decoder in a compressed bit stream. Therefore, the syntax for communicating such parameters is specified by the existing video coding standards, such as the H.264/AVC standard. For example, the video coding standard specifies a prediction mode for a given macroblock in a current frame from other temporally related reference pictures. The standard also specifies methods used to encode and decode a resulting prediction error. Other parameters specify a type or size of a transform, a quantization method, and an entropy coding method.

Therefore, our multiview reference pictures can be implemented with only limited number of modifications to standard encoding and decoding components such as the reference picture lists, decoded picture buffer, and prediction structure of existing systems. It is noted that the macroblock structure, transforms, quantization and entropy encoding remain unchanged.

View Synthesis

As described above for FIG. 8, view synthesis is a process by which frames 801 corresponding to a synthetic view 802 of a virtual camera 800 are generated from frames 803 acquired of existing videos. In other words, view synthesis provides a means to synthesize the frames corresponding to a selected novel view of the scene by a virtual camera not present at the time the input videos were acquired. Given the pixel values of frames of one or more actual video and the depth values of points in the scene, the pixels in the frames of the synthesized video view can be generated by extrapolation and/or interpolation.

Prediction from Synthesized Views

FIG. 16 shows a process for generating a reconstructed macroblock using the view-synthesis mode, when depth information 1901 is included in the encoded multiview bit stream 731. The depth for a given macroblock is decoded by a side information decoder 1910. The depth and the spatial reference pictures 1902 are used to perform view synthesis 1920, where a synthesized macroblock 1904 is generated. A reconstructed macroblock 1903 is then formed by adding 1930 the synthesized macroblock 1904 and a decoded residual macroblock 1905.

Details on Multiview Mode Selection at Encoder

FIG. 17 shows a process for selecting the prediction mode while encoding or decoding a current frame. Motion estimation 2010 for a current macroblock 2011 is performed using temporal reference pictures 2020. The resultant motion vectors 2021 are used to determine 2030 a first coding cost, cost₁ 2031, using temporal prediction. The prediction mode associated with this process is m₁.

Disparity estimation 2040 for the current macroblock is performed using spatial reference pictures 2041. The resultant disparity vectors 2042 are used to determine 2050 a second coding cost, Cost₂ 2051, using spatial prediction. The prediction mode associated with this process is denoted m₂.

Depth estimation 2060 for the current macroblock is performed based on the spatial reference pictures 2041. View synthesis is performed based on the estimated depth. The depth information 2061 and the synthesized view 2062 are used to determine 2070 a third coding cost, cost₃ 2071, using view-synthesis prediction. The prediction mode associated this process is m₃.

Adjacent pixels 2082 of the current macroblock are used to determine 2080 a fourth coding cost, cost₄ 2081, using intra prediction. The prediction mode associated with process is m₄.

The minimum cost among cost₁, cost₂, cost₃ and cost₄ is determined 2090, and one of the modes m₁, m₂, m₃ and m₄ that has the minimum cost is selected as the best prediction mode 2091 for the current macroblock 2011.

View Synthesis Using Depth Estimation

Using the view synthesis mode 2091, the depth information and displacement vectors for synthesized views can be estimated from decoded frames of one or more multiview videos. The depth information can be per-pixel depth estimated from stereo cameras, or it can be per-macroblock depth estimated from macroblock matching, depending on the process applied.

An advantage of this approach is a reduced bandwidth because depth values and displacement vectors are not needed in the bit stream, as long as the encoder has access to the same depth and displacement information as the decoder. The encoder can achieve this as long as the decoder uses exactly the same depth and displacement estimation process as the encoder. Therefore, in this embodiment of the invention, a difference between the current macroblock and the synthesized macroblock is encoded by the encoder.

The side information for this mode is encoded by the side information encoder 720. The side information includes a signal indicating the view synthesis mode and the reference view(s). The side information can also include depth and displacement correction information, which is the difference between the depth and displacement used by the encoder for view synthesis and the values estimated by the decoder.

FIG. 18 shows the decoding process for a macroblock using the view-synthesis mode when the depth information is estimated or inferred in the decoder and is not conveyed in the encoded multiview bit stream. The depth 2101 is estimated 2110 from the spatial reference pictures 2102. The estimated depth and the spatial reference pictures are then used to perform view synthesis 2120, where a synthesized macroblock 2121 is generated. A reconstructed macroblock 2103 is formed by the addition 2130 of the synthesized macroblock and the decoded residual macroblock 2104.

Spatial Random Access

In order to provide random access to frames in a conventional video, intra-frames, also known as I-frames, are usually spaced throughout the video. This enables the decoder to access any frame in the decoded sequence, although at a decreased compression efficiency.

For our multiview encoding and decoding system, we provide a new type of frame, which we call a ‘V-frame’ to enable random access and increase compression efficiency. A V-frame is similar to an I-frame in the sense that the V-frame is encoded without any temporal prediction. However, the V-frame also allows prediction from other cameras or prediction from synthesized videos. Specifically, V-frames are frames in the compressed bit stream that are predicted from spatial reference pictures or synthesized reference pictures. By periodically inserting V-frames, instead of I-frames, in the bit stream, we provide temporal random access as is possible with I-frames, but with a better encoding efficiency.

FIG. 19 shows the use of I-frames for the initial view and the use of V-frames for subsequent views at the same time instant 1900. It is noted that for the checkerboard configuration shown in FIG. 5, V-frames would not occur at the same time instant for all views. Any of the low-band frames could be assigned a V-frame. In this case, the V-frames would be predicted from low-band frames of neighboring views.

In H.264/AVC video coding standard, IDR frames, which are similar to MPEG-2 I-frames with closed GOP, imply that all reference pictures are removed from the decoder picture buffer. In this way, the frame before an IDR frame cannot be used to predict frames after the IDR frame.

In the multiview decoder as described herein, V-frames similarly imply that all temporal reference pictures can be removed from the decoder picture buffer. However, spatial reference pictures can remain in the decoder picture buffer. In this way, a frame in a given view before the V-frame cannot be used to perform temporal prediction for a frame in the same view after the V-frame.

To gain access to a particular frame in one of the multiview videos, the V-frame for that view must first be decoded. As described above, this can be achieved through prediction from spatial reference pictures or synthesized reference pictures, without the use of temporal reference pictures.

After the V-frame of the select view is decoded, subsequent frames in that view are decoded. Because these subsequent frames are likely to have a prediction dependency on reference pictures from neighboring views, the reference pictures in these neighboring views are also be decoded.

Spatial Random Access with Known Prediction Dependency

The V-frame method described above provides spatial random access by limiting the prediction dependency on temporal reference pictures in a given view. In the following, a view is defined as one are more frames acquired of a scene by one or more cameras. Frames of different views are acquired by different cameras. The frames of the views can be encoded into one or more bit streams. In a preferred embodiment, the views are multiplexed into a single multiview bit stream

However, additional information is needed to enable efficient random access. Without this additional information, a decoder would either have to decode every frame of every view within a given period of time or parse all the macroblocks to determine the prediction dependency for every frame, which would then determine the frames that must be decoded.

We describe this problem further using conventional simulcast coding of multiple views, i.e., independent coding of each view into a separate bit stream, as an example. In simulcast coding, switching views is straightforward. The decoder simply decodes stream X, while ignoring all other streams. Then, when the user wishes to switch to view Y at some time T, the decoder simply stops decoding stream X and initiates random access to decode stream Y at time T. In this case, the delay and computational complexity required is essentially proportional to a length of a group of pictures (GOP) in each independently coded stream.

In contrast, without any additional information about the view dependencies in a single multiview compressed bit stream according to an embodiment of the invention, random access can be significantly more complicated. For example, consider a multiview bit stream in which the frames of each view have been arranged into a single time-ordered sequence and encoded using hierarchical B-frames as shown in FIG. 20.

Given this prediction structure, if a decoder wishes to initiate random access to a frame such as a frame at time T7 in stream S7, which is somewhere in the middle of the bit stream, then the only way the decoder could access this frame would be to search the bit stream for an IDR-picture, or recover supplemental enhancement information (SEI) messages immediately before the frame to access and then decode from this time forward until the desired frame is decoded.

This would correspond to decoding forward from the frame labeled I₀ and require an overhead of V×(G+1)−1 extra frames, where V is the number of views and G is the GOP length. In contrast, the overhead to randomly access this frame using conventional independent coding of each stream would simply be G. Thus, to guarantee real-time performance while switching views, a multi-view decoder would need to be able to operate roughly V times faster than the conventional single-view decoder.

However, this large overhead is not necessarily due to the prediction structure in FIG. 20, but to the lack of appropriate information to enable the decoder to efficiently perform random access. Specifically, to decode frame (T7, S7), an omniscient decoder, which knows the exact prediction structure in advance, could decode only the pictures used as references for this frame, as well as the frames used as reference pictures for those references, and so on until the I-picture at the beginning of the GOP. In a worst case, this requires an overhead of 18 frames for random access in this example as opposed to 71 frames for a decoder using the conventional H.264/AVC syntax to initiate random access.

While knowledge of the prediction structure can drastically reduce the random access requirements, it is unreasonable to expect a decoder to perfectly know the optimal method to traverse the prediction structure beforehand for a number of reasons. First, the optimal traversal rule can potentially be different for each frame. Thus, storing this traversal rule may be infeasible. Second, the encoder might adaptively select the prediction structure at encoding time and be unable to convey the exact prediction structure to the decoder in an efficient way. Third, the prediction structure may not have a rigid periodic structure that would otherwise allow a predetermined random access traversal rule without being communicated using new syntax elements.

To enable efficient random access to a target frame in a single multiview compressed bit stream, we describe a method for spatial random access that makes use of additional information about the view dependency prediction structure to minimize the decoding requirements to achieve spatial random access. We refer to this additional information as a prediction dependency message.

In the context of the H.264/AVC standard, SEI messages are used to convey such additional information from an encoder to a decoder. In the following, we describe a particular type of prediction dependency message that we refer to as a view dependency SEI message.

As described above, V-frames have no temporal dependence on other frames for the same view and may only be predicted from frames from another view at the same time. The view dependency SEI message according to an embodiment of the invention describes exactly which views a V-frame, as well as the preceding and following sequence of frames, may depend on. Further details on how this is specified in the context of the H.264/AVC standard are described below.

First, Table 7-1 in the H.264/AVC standard is extended to include a new network adaptation layer (NAL) unit type 14 corresponding to a V-frame. It is noted that only NAL unit types 1 through 5 are considered Video Coding Layer (VCL) NAL units. With this change, NAL unit type 14 should also be considered a VCL NAL unit.

Second, we define the V-frame to be:

“A coded frame in which all slices reference only slices with the same temporal index, i.e., only slices in other views and not slices in the current view. When a V-frame is decoded or displayed, the V-frame also causes the decoding process to mark all frames from the same view, which are not IDR-frames or V-frames and which precede the V-frame in output order, to be marked as unused for reference. Each V-frame shall be associated with a view dependency SEI message occurring in the same NAL.”

It is emphasized that the above definition enables OpenGOP prediction because all frames that precede the V-frame are not marked as unused for reference until after the V-frame is decoded or displayed. This enables the V-frame itself to be used for predicting preceding frames, but still limits the temporal dependency for prediction of frames after the V-frame. In ClosedGOP implementations, frames that precede the V-frame are marked as unused for reference upon receiving and identifying the current frame as a V-frame.

Third, we define the view dependency SEI message with the following syntax:

view_dependency ( payloadSize ) { num_seq_reference_views ue(v) seq_reference_view_0 ue(v) seq_reference_view_1 ue(v) . . . seq_reference_view_N ue(v) num_pic_reference_views ue(v) pic_reference_view_0 ue(v) pic_reference_view_1 ue(v) . . . pic_reference_view_N ue(v) } where num_seq_reference_views indicates the number of views that can be used as reference for the current sequence, and seq_reference_view_i are the view indices for views that can be used as reference for the current sequence, while num_pic_reference_views indicates the number of views that can be used as reference for the current frame, and pic_reference_view_i are the view indices for views that can be used as reference for the current frame.

Each field of the SEI message is encoded as an unsigned integer Exp-Golomb-coded syntax element with the left most bit first, which is denoted ue(v) according to the H.264/AVC standard.

The frame associated with the view dependency SEI message only references the specified views described by pic_reference_view_i. Similarly, all subsequent frames, in output order of that view until the next view dependency SEI message in that view, only reference the specified views described by seq_reference_view_i.

For the view dependency SEI message to be useful for random access purposes, the view dependency SEI message is associated with each independently encoded frame, i.e., an IDR-frame, and each frame is encoded using only spatial reference pictures, i.e., V-frames.

Above, we describe a view dependency SEI message, which is a special case of the prediction dependency message. Similarly, a temporal dependency SEI message can be defined. The fields contained in such a message can be used to further reduce the set of frames required for decoding. In order for temporal dependency SEI messages to be useful for random access purposes, a temporal dependency SEI message is associated with all encoded frames. If the temporal dependency message is not present for a given frame, it can be inferred that the frame is not used as a temporal reference picture.

Decoder Operation for Spatial Random Access

In the following, we describe a decoder that can efficiently perform random access using the syntax and method described above. To access a frame in view V at time T without the proposed syntax, a decoder needs to locate a first appropriate recovery frame before the desired frame and decode from that point forward.

With the method according to this embodiment of the invention, the decoder marks a set of frames that are required to decode the target frame in the specified view V at time T. Then, the decoder decodes forward from the appropriate recovery frame. Frames that are not required for random access are skipped. Frames that are required are decoded conventionally.

Thus, the main difference in performing decoding for random access for a multiview compressed bit stream is determining which set of frames is required to perform random access, and which frames can be skipped. Any frames marked as “unused for reference” can be skipped, but determining whether a frame marked as “used for reference” is decoded to provide the desired random access is more involved. Conceptually, the decoder can determine which frames are required by starting from the appropriate recovery frame indicated in the SEI message and only decoding frames that are required.

FIG. 21 shows the method for providing random access. A prediction dependency message 2151 is received by an SEI message decoder 2152 to produce fields 2153 of the prediction dependency message. Based on the fields 2153 of the prediction dependency message and a target frame (V, T) 2154, a set of frames 2159, referred to as MarkFrames (V, T), required to be decoded prior to accessing the target frame (V, T) 2154 are determined by a required frames marking process 2155. The set of frames 2159 is passed to a multiview bit stream decoder 2156 that receives a bit stream 2157, decodes the set of required frames and provides access to the target frame, which is denoted output frame (V, T) 2158.

The details of the required frames marking process 2155 are described below:

MarkFrames(V, T) If the frame at time T and view V is marked as required, terminate this call to MarkFrames without doing anything further, otherwise execute the following steps. Mark the reference picture at time T and view V as required. Set T′ to be the time index of the first IDR-frame or V-frame in view V at or before time T. Set T″ to be the time index of the first IDR-frame or V-frame in view V at or after time T. For each view v listed in the pic_reference_view_i fields of the View Dependency SEI message associated with the picture at time T′ and view V, recursively execute MarkFrames(v, T′). For each view v listed in the pic_reference_view_i fields of the View Dependency SEI message associated with the picture at time T′ and view V, recursively execute MarkFrames(v, T″). For each view v listed in the seq_reference_view_i fields of the View Dependency SEI message associated with the picture at time T′ and view V, and for each value of t between T′ + 1 and T″ − 1 inclusive, recursively execute MarkFrames(v, t). For each value of t between T′ and T″ inclusive, recursively execute MarkFrames(V, t).

It should be understood that calls to MarkFrames (V, T) need not be made for frames that are marked as unused for reference.

The intuition for the above process is as follows: Step 1 is the standard termination condition used in most recursive functions to guarantee that processing eventually terminates. Step 2 marks the required frame, while Steps 3 and 4 index the temporal boundaries of a particular view. Steps 5 and 6 mark the set of frames required to decode the V-frames or IDR-frames before and after the target frame. Essentially, these steps account for the cross-view dependence of V-frames while breaking the temporal dependence on frames before or after V-frames or IDR-frames.

The purpose of Step 7 is to mark all frames in other views that might be required to predict reference pictures in the current view. Finally, Step 8 marks all I, P or B slices in the current view that may be required for temporal prediction of the desired frame.

The method for marking required frames to access the target frame (V, T) is shown in FIG. 22. First, MarkFrame (V, T) is called 2201. Then, we check 2210 whether frame (V, T) is already marked. If so, the process terminates 2220. If not, we locate 2230 the frame index of the previous V-frame or IDR-frame in the same view at or before time T. Then, we obtain 2240 the view dependency SEI message that corresponds to this frame, i.e., at the current view V and time at which the V-frame or IDR-frame exists. Next, we recursively call 2202 the MarkFrames process for each frame indicated by the message, for each range of frames in other views indicated by the message, and call again 2203 for each frame in the current view that could be a temporal reference. Finally, we mark 2250 frame (V, T) as required, terminate the current call to MarkFrame, and terminate 2260.

Based on the prediction structure shown in FIG. 20, several examples are provided below to demonstrate the marking process and, in particular, an order in which frames are marked. The zeros represent frames that are not required, the one in each example represents the target frame (V, T) to randomly access, and the other non-zero integers represent the order a given frame is marked. The first row corresponds to the first view, the second row to the second view, etc.

Example 1

(V, T)=(2, 2). This example shows that view2 is dependent only on two frames in view0, and that all frames in view2 are marked with the current process. This is a significant reduction compared to sequential decoding of all frames, as in the prior art.

$\begin{matrix} 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 3 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 4 & 5 & 1 & 6 & 7 & 8 & 9 & 10 & 11 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \end{matrix}$

Although the frames marked 5, 6, 8, 9, 10 are not used as a temporal reference pictures in view2, these frames are used for reference to predict frames in neighboring views, i.e., view1 and view3. Because the ‘unused for reference’ flag is not set, it is not obvious that these frames could be skipped. However, with some additional information, such as a temporal dependency message or a syntax element that distinguishes whether the current frame is used as a temporal reference in the current view or only as a spatial reference in neighboring views, it is possible to not mark these frames as required, thereby reducing the required number of frames to be decoded even further.

Example 2

(V, T)=(1, 3). This example shows that view1 is dependent on two other views, view0 and view2. All frames in both view0 and view2 are marked as required frames. Because some frames in view1 are unused as reference, not all frames in view1 are marked as required.

$\begin{matrix} 2 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 4 & 0 & 0 & 0 \\ 20 & 0 & 21 & 1 & 22 & 0 & 23 & 0 & 24 & 0 & 0 & 0 \\ 3 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 5 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \end{matrix}$

As with the previous example, there are also some frames that have been marked that the target frame has no dependency on. For example, the frame marked 23 in view1 is not required to access the target frame. A temporal dependency message could convey such information. Also, the frames marked 6, 10, 12, 13, 19 are only used as a reference for frames in view1 that are not needed as reference to access the target frame. This second order dependency is more difficult to detect.

Example 3

(V, T)=(5, 2). This example demonstrates that the required number of frames does not grow significantly when the target frame is in a later view because the view prediction dependency is limited.

$\begin{matrix} 4 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 8 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 3 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 7 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 2 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 6 & 0 & 0 & 0 \\ 24 & 0 & 1 & 0 & 25 & 0 & 26 & 0 & 27 & 0 & 0 & 0 \\ 5 & 17 & 18 & 19 & 20 & 21 & 22 & 23 & 9 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \end{matrix}$

The embodiments of the method of this invention effectively minimizes the decoder requirements for spatial random access with multiview bit streams. The method is especially useful for free viewpoint video applications that require access to a target frame of a multiview bit stream for a randomly specified view at a randomly specified time.

Although the invention has been described by way of examples of preferred embodiments, it is to be understood that various other adaptations and modifications can be made within the spirit and scope of the invention. Therefore, it is the object of the appended claims to cover all such variations and modifications as come within the true spirit and scope of the invention. 

1. A method for decoding multiview videos, comprising the steps of: maintaining a reference picture list for a current frame of a plurality of multiview videos to be decoded, wherein the current frame includes a plurality of macroblocks, wherein the plurality of multiview videos includes reference pictures, and wherein the reference pictures includes temporal reference pictures and spatial reference pictures; indexing the temporal reference pictures and spatial reference pictures by the reference picture list; and predicting each current macroblock of the current frame of the plurality of multiview videos according to the temporal reference pictures and spatial reference pictures as indexed by the reference picture list, wherein the predicting is adaptive to each current macroblock and according to a selected one of a plurality of prediction modes, and wherein the plurality of prediction modes includes a temporal prediction and a spatial prediction.
 2. The method of claim 1, further comprising: performing the maintaining and the predicting in an encoder.
 3. The method of claim 1, further comprising: performing the maintaining and the predicting in a decoder.
 4. The method of claim 1, further comprising: storing the reference pictures in a decoded picture buffer according to the reference picture list before the predicting; and removing a selected reference picture from the decoded picture buffer after the predicting with the selected reference picture.
 5. The method of claim 1, further comprising: acquiring the plurality of multiview videos of a scene with corresponding synchronized cameras arranged at a plurality of poses, wherein views acquired by spatially adjacent cameras overlap.
 6. The method of claim 1, wherein the plurality of multiview videos are correlated temporally and spatial.
 7. The method of claim 1, wherein an identical reference picture list is used for predicting each current macroblock during encoding and decoding of the plurality of multiview videos.
 8. The method of claim 1, wherein the plurality of prediction modes includes intra prediction.
 9. The method of claim 1, further comprising: ordering the reference pictures in the reference picture list according to a selected one of a set of view types.
 10. The method of claim 9, wherein the set of view types includes I-view, P-view and B-view.
 11. The method of claim 5, further comprising: ordering the reference pictures according to parameters of the cameras.
 12. The method of claim 11, further comprising: determining a proximity of adjacent camera views to a current camera view, and only the reference pictures corresponding to the adjacent camera views within a specified proximity are added to the reference picture list of the current camera view.
 13. The method of claim 1, further comprising: ordering the reference pictures indexed by the reference picture list according to coding efficiencies.
 14. The method of claim 1, further comprising: ordering the temporal reference pictures indexed by the reference picture before corresponding spatial reference pictures.
 15. The method of claim 1 further comprising: ordering temporal reference pictures indexed by the reference picture according to a correlation with the current frame.
 16. The method of claim 1, further comprising: encoding the reference pictures indexed by the reference picture list according to the selected one of the set of prediction modes.
 17. The method of claim 16, further comprising: determining a first cost for the temporal prediction; determining a second cost for spatial prediction; selecting the prediction mode according to a minimal cost of the first cost and the second cost.
 18. The method of claim 1, further comprising: decoding the reference pictures indexed by the reference picture list according to the selected one of the set of prediction modes.
 19. The method of claim 1, further comprising: marking the reference pictures required for the decoding as used reference before the decoding, and as unused for reference after the decoding.
 20. A decoder for multiview videos, comprising: a decoded picture buffer storing and maintaining a reference picture list for a current frame of a plurality of multiview videos to be decoded, wherein the current frame includes a plurality of macroblocks, wherein the plurality of multiview videos includes reference pictures, wherein the reference pictures include temporal reference pictures and spatial reference pictures, and wherein reference picture list indexes the temporal reference pictures and spatial reference pictures; and means for predicting each current macroblock of the current frame of the plurality of multiview videos according to the temporal reference pictures and spatial reference pictures as indexed by the reference picture list, wherein the predicting is adaptive to each current macroblock and according to a selected one of a plurality of prediction modes, and wherein the plurality of prediction modes includes a temporal predication and a spatial prediction. 